MLops

3 days ago


Bengaluru, Karnataka, India Sdna Global Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Skills Needed:

  • Deploying ML models in cloud (AWS, Azure, Oracle) and on-premises.
  • CI/CD pipelines for ML.
  • Containerization (Docker, Kubernetes).
  • Building and maintaining data pipelines.
  • Model monitoring and retraining.

About the role:

  • MLOps professional with 6-8 years of experience in deploying and scaling machine learning models in production environments of banks. Should be thrive at the intersection of data science and engineering, ensuring that fraud detection models move seamlessly from prototype to production.
  • Hands-on experience with cloud platforms (AWS, Azure, Oracle) as well as on-premise deployments, and should be comfortable working with containerization, orchestration, and CI/CD pipelines.
  • Building data pipelines, monitoring model performance, and implementing data quality frameworks come naturally to you, and should understand the critical role they play in keeping fraud models effective and reliable.
  • Will work cross-functionally, collaborating with data scientists, risk experts, and IT teams to deliver robust fraud analytics solutions. Should take ownership, communicate clearly, and can balance technical excellence with business impact.
  • MLOpsautomating, scaling, and optimizing model lifecycles to ensure that fraud detection systems remain fast, accurate, and resilient in a constantly evolving threat landscape.

  • MLOps Engineer

    3 days ago


    Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    This role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...

  • MLOps Engineer

    3 days ago


    Bengaluru, Karnataka, India Weekday AI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    This role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...

  • MLOps Engineer

    3 days ago


    Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 18,00,000 per year

    This role is for one of the Weekday's clientsMin Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking an experienced MLOps Engineer to design, orchestrate, and manage end-to-end machine learning pipelines on modern cloud platforms. This role requires strong expertise in MLOps practices, backend development, and cloud-based deployment,...

  • MLOps Engineer

    1 week ago


    Bengaluru, Karnataka, India Capgemini Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    MLOps Engineer We're looking for talented professional to join our team as MLOps Engineer. Required Skills: Azure Databricks Location: Bangalore Experience: 6 to 12 years Notice Period: 0 to 60 Days If interested - send your resume.

  • MLOps Engineer

    2 weeks ago


    Bengaluru, Karnataka, India Infometry Full time ₹ 12,00,000 - ₹ 36,00,000 per year

    Location : RemoteRole : MLOps EngineerEXP : 7-10yrsJob Summary : We are seeking a highly skilled and motivated MLOps Engineer to join our team. The ideal candidate will be responsible for streamlining the deployment, scaling, and monitoring of machine learning models in production. You should have a strong background in Python, PySpark, cloud platforms...

  • MLOps Engineer

    24 hours ago


    Bengaluru, Karnataka, India Connect2Talent Full time ₹ 15,00,000 - ₹ 25,00,000 per year

    Job Title : MLOps EngineerLocation : Bangalore / GurgaonExperience : 4 to 8 yearsEmployment Type : Full-timeNotice Period : 15 daysAbout the Role : We are seeking an experienced MLOps Engineer who can bridge the gap between Machine Learning and DevOps. You will be responsible for designing, building, and maintaining scalable pipelines to deploy,...

  • MLOps Engineer

    1 week ago


    Bengaluru, Karnataka, India TekPillar Services Pvt. Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

    Job Title : MLOps EngineerExperience : 6- 10 YearsLocation : BangaloreNotice Period : Immediate to 30 DaysKey Skills : MLOps, Azure AML, CI/CD, GenAI, LLM, ONNX, TFLite, Python, Data PipelinesJob Description : - Design, develop, and maintain complex, high-performance, and scalable MLOps systems that interact with AI models and systems. - Cooperate...

  • MLOps Engineer

    2 weeks ago


    Bengaluru, Karnataka, India, Karnataka C5i Full time

    Job descriptionWe are looking for an experienced MLOps Engineer to join our team in Bengaluru. The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models. This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.Job...


  • Bengaluru, Karnataka, India COURSE5 INTELLIGENCE LIMITED Full time ₹ 12,00,000 - ₹ 36,00,000 per year

    Job Description : We are looking for an experienced MLOps Engineer to join our team. The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models. This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows. Key...

  • MLOps Engineer

    1 week ago


    Bengaluru, Karnataka, India TekPillar® Full time ₹ 20,00,000 - ₹ 25,00,000 per year

    "We're Hiring for MLOps Engineer at Bangalore"Job Role:MLOps EngineerExperience:7+ YearsLocation:BangaloreKey Responsibilities:Develop and maintain scalable ML pipelines and backend services.Build, deploy, and manage applications using Python and frameworks like Tornado and FastAPI .Work with RDBMS models in cloud environments for data storage and...